Research Article
Low-cost Gaze and Pulse Analysis using RealSense
@ARTICLE{10.4108/eai.14-10-2015.2261657, author={Qiang Qiu and Zhuoqing Chang and Mark Draelos and Jie Chen and Alex Bronstein and Guillermo Sapiro}, title={Low-cost Gaze and Pulse Analysis using RealSense}, journal={EAI Endorsed Transactions on Ambient Systems}, volume={3}, number={12}, publisher={ACM}, journal_a={AMSYS}, year={2015}, month={12}, keywords={gaze tracker, pulse rate, depth camera, infrared, mobile health, mental health, human computer interaction}, doi={10.4108/eai.14-10-2015.2261657} }- Qiang Qiu
Zhuoqing Chang
Mark Draelos
Jie Chen
Alex Bronstein
Guillermo Sapiro
Year: 2015
Low-cost Gaze and Pulse Analysis using RealSense
AMSYS
EAI
DOI: 10.4108/eai.14-10-2015.2261657
Abstract
Intel’s newly-announced low-cost and high precision RealSense 3D (RGBD) camera is becoming ubiquitous in laptops and mobile devices starting this year, opening the door for new applications in the mobile health arena. In this paper, we demonstrate how the Intel RealSense 3D camera can be used for low-cost gaze tracking and passive pulse rate estimation. We develop a novel 3D gaze and fixation tracker based on the eye surface geometry as well as an illumination invariant pulse rate estimation method using near-infrared images captured with RealSense. We achieve a mean error of 1cm at 20 − 30cm for the gaze tracker and 2.26bpm (beats per minute) for pulse estimation, which is adequate in many medical applications, demonstrating the great potential of novel consumer-grade RGBD technology in mobile health.
Copyright © 2015 Q. Qiu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.